601 search results for “machine” in the Public website
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Machine Learning
Computers are capable of making incredibly accurate predictions on the basis of machine learning. In other words, these computers can learn without intervention once they have been pre-programmed by humans. At LIACS, we explore and push the borders of what a revolutionary new generation of algorithms…
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Massively collaborative machine learning
Promotor: J. N. Kok, Co-promotor: A. J. Knobbe
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Artificial Intelligence & Machine Learning
Computers are capable of making incredibly accurate predictions on the basis of machine learning. In other words, these computers can learn without intervention once they have been pre-programmed by humans. At LIACS, we explore and push the borders of what a revolutionary new generation of algorithms…
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Language as a time machine
By studying language you can reconstruct the history of different communities, even when no other historical sources, such as written documents, are available. In the coming years, researchers Willem Adelaar and Marian Klamer will be carrying out this kind of reconstruction in areas of great linguistic…
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Non-food vending machine Lecture Hall
Lecture Hall, Einsteinweg 57, 2333 CC, Leiden
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Predicting alcohol use disorder through machine learning
How to come to valid risk stratification of alcohol use disorder?
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Machine learning for radio galaxy morphology analysis
We explored how to morphologically classify well-resolved jetted radio-loud active galactic nuclei (RLAGN) in the LOw Frequency Array (LOFAR) Two-metre Sky Survey (LoTSS) using machine learning.
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Non-food vending machine Huygens/Oort
Huygens, Niels Bohrweg 2, 2333 CA, Leiden
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Non-food vending machine University Library
University Library, Witte Singel 27, 2311 BG, Leiden
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Non-food vending machine Plexus
Plexus Student Centre, Kaiserstraat 25, 2311 GN, Leiden
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Non-food vending machine Snellius
Snellius, Niels Bohrweg 1, 2333 CA, Leiden
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Non-food vending machine Van Steenis
Van Steenis, Einsteinweg 2, 2333 CC, Leiden
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Non-food vending machine Schouwburgstraat
Schouwburgstraat, Schouwburgstraat 2, 2511 VA, The Hague
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Non-food vending machine KOG
Kamerlingh Onnes Building, Steenschuur 25, 2311 ES, Leiden
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Non-food vending machine Wijnhaven
Wijnhaven, Turfmarkt 99, 2511 DP, The Hague
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Non-food vending machine Lipsius
Lipsius, Cleveringaplaats 1, 2311 BD, Leiden
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Reliable and Fair Machine Learning for Risk Assessment
The focus of this thesis is on the technical methods which help promote the movement towards Trustworthy AI, specifically within the Inspectorate of the Netherlands.
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Computational speedups and learning separations in quantum machine learning
This thesis investigates the contribution of quantum computers to machine learning, a field called Quantum Machine Learning. Quantum Machine Learning promises innovative perspectives and methods for solving complex problems in machine learning, leveraging the unique capabilities of quantum computers…
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Machine learning and computer vision for urban drainage inspections
Sewer pipes are an essential infrastructure in modern society and their proper operation is important for public health. To keep sewer pipes operational as much as possible, periodical inspections for defects are performed.
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The holographic glass bead game: from superconductivity to time machines
Promotores: Prof.dr. J. Zaanen & Prof.dr. K.E. Schalm
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Legibility in the Age of Signs and Machines
Legibility in the Age of Signs and Machines offers a compelling reflection on what the notion of legibility entails in a machinic world in which any form of cultural expression – from literary texts, films, artworks and museum exhibits to archives, laws, computer programs and algorithms – necessarily…
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Non-food vending machine Pieter de la Court
Pieter de la Court, Wassenaarseweg 52, 2333 AK, Leiden
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Assistant Professor in Machine Learning for Quantum Systems
Science, Leiden Institute of Advanced Computer Science (LIACS)
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Non-food vending machine Anna van Buerenplein
Anna van Buerenplein, Anna van Buerenplein 301, 2595 DG, The Hague
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Machine learning-based NO2 estimation from seagoing ships using TROPOMI/S5P satellite data
The marine shipping industry is one of the strongest emitters of nitrogen oxides (NOx), a pollutant detrimental to ecology and human health. Over the last 20 years, the pollution produced by power plants, the industry sector, and cars has been decreasing.
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Automated machine learning for dynamic energy management using time-series data
Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…
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space of post-translationally modified peptides in Streptomyces with machine learning
The ongoing increase in antimicrobial resistance combined with the low discovery of novel antibiotics is a serious threat to our health care.
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Data-Driven Machine Learning and Optimization Pipelines for Real- World Applications
Machine Learning is becoming a more and more substantial technology for industry.
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Quantum machine learning: on the design, trainability and noise-robustness of near-term algorithms
This thesis addresses questions on effectively using variational quantum circuits for machine learning tasks.
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The flux and flow of data: connecting large datasets with machine learning in a drug discovery envirionment
This thesis focuses on data found in the field of computational drug discovery. New insight can be obtained by applying machine learning in various ways and in a variety of domains. Two studies delved into the application of proteochemometrics (PCM), a machine learning technique that can be used to…
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Coffee Machines & Personal Mugs
Have you always wanted to use your own coffee mug at the university coffee machines but it was never accepted? We have good news for you!
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Machine learning predicts preferences
Cláudio de Sá predicted the preferences of people using rankings. He adjusted ‘classical’ machine learning approaches, making them suitable for predicting preferences. His work can be applied in the prediction of election results. PhD defence on 16 December.
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Language as a time machine
About 90 per cent of Austronesian and Papuan languages are under threat of soon becoming extinct. Marian Klamer is the only professor in the world who researches both these language groups. She records languages before they disappear and sheds new light on the history of Indonesia. Inaugural lecture…
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Novel system-inspired model-based quantum machine learning algorithm for prediction and generation of High-Energy Physics data
Assistant Professor Vedran Dunjko and his team received a gift from Google to support their quantum research. The research focuses on whether quantum computers can provide new ways of understanding the mysteries of high-energy physics.
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PNAS Paper Prize for quantum machine learning
‘We hope our paper highlights the possibilities and benefits of including artificial intelligence in quantum physics to do new discoveries.’ Vedran Dunjko of the Leiden Institute of Advanced Computer Science contributed to a paper that was published in PNAS last year and now received a Cozzarelli Prize…
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Andreas ParaskevaScience
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MRI Machine at the Nanoscale Breaks World Records
A new NMR microscope gives researchers an improved instrument to study fundamental physical processes. It also offers new possibilities for medical science, for example to better study proteins in Alzheimer patients’ brains. Publication in Physical Review Applied.
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Frans RodenburgScience
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Alumnus Robert Ietswaart: ‘Machine learning is revolutionising drug discovery’
Robert Ietswaart does research into gene regulation at the famous Harvard Medical School in Boston. He developed an algorithm to better predict whether a candidate medicine is going to produce side effects. He studied mathematics and physics in Leiden, and gained his PhD in computational biology in…
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Leiden Classics: Bibliotheca Thysiana, a 17th century time machine
From once controversial scientific works and historical bibles, to personal shopping lists and clothing bills. The 17th-century Bibliotheca Thysiana and the archive of the collector Johannes Thysius exhibit both the intellectual and everyday life as it was three hundred years ago. Now a brand-new digital…
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Optimally weighted ensembles of surrogate models for sequential parameter optimization
It is a common technique in global optimization with expensive black-box functions to learn a surrogate-model of the response function from past evaluations and use it to decide on the location of future evaluations.
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Wouter van LoonFaculteit der Sociale Wetenschappen
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Ghost in the machine: the deep features of Yanming Guo
In the 1960s at MIT, cognitive scientist Marvin Minsky told a couple of graduate students to program a computer to perform the simple task of recognising objects in pictures, thinking it would be a nice summer project. Scientists from Leiden and the rest of the world are still working on it today.
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Modelling the interactions of advanced micro- and nanoparticles with novel entities
Novel entities may pose risks to humans and the environment. The small particle size and relatively large surface area of micro- and nanoparticles (MNPs) make them capable of adsorbing other novel entities, leading to the formation of aggregated contamination.
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'The use of online translation machines in healthcare settings may involve certain risks'
Researcher and lecturer Susana Valdez investigates how migrants make use of online translation technology in medical situations. Her research suggests that they often encounter obstacles when using machine translation in these settings. Potential problems include a lack of understanding or trust.
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The Use of Machine Learning in Public Organizations - an Interview with PhD Student Friso Selten
Friso Selten recently started a PhD position that is part of the SAILS program. This PhD project is a collaboration between FGGA, LIACS, and eLaw, and is supervised by Bram Klievink (FGGA), Joost Broekens (LIACS), and Francien Deschene (eLaw). In the project Friso will investigate the influence of artificial…
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Correspondence article by Eduard Fosch-Villaronga in Nature Machine Intelligence
Robot technology is flourishing in multiple sectors of society, including retail, health care, industry and education. However, are robots representative towards minority groups of society, like LGBTQ+ people?
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Data-driven donation strategies: understanding and predicting blood donor deferral
The research in this dissertation aims to optimise blood donation processes in the framework of the Dutch national blood bank Sanquin. The primary health risk for blood donors is iron deficiency, which is evaluated based on donors' hemoglobin and ferritin levels.
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Exploring big data approaches in the context of early stage clinical
Als gevolg van de grote technologische vooruitgang in de gezondheidszorg worden in toenemende mate gegevens verzameld tijdens de uitvoering van klinische onderzoeken.
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Fatemeh Mehrafrooz MayvanScience